segformer-b0-finetuned-neurosymbolic-contingency-bag1-v0.2-v1

This model is a fine-tuned version of nvidia/mit-b0 on the sam1120/neurosymbolic-contingency-bag1_v0.2 dataset. It achieves the following results on the evaluation set:

Loss: 0.0656
Mean Iou: 0.8606
Mean Accuracy: 0.9137
Overall Accuracy: 0.9935
Accuracy Unlabeled: nan
Accuracy Safe: 0.8303
Accuracy Unsafe: 0.9970
Iou Unlabeled: nan
Iou Safe: 0.7278
Iou Unsafe: 0.9934

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0005552
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1400

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Safe	Accuracy Unsafe	Iou Unlabeled	Iou Safe	Iou Unsafe
0.7077	5.71	40	0.6235	0.4560	0.8510	0.9766	nan	0.7199	0.9821	0.0	0.3919	0.9762
0.3473	11.43	80	0.3172	0.4885	0.7734	0.9874	nan	0.5500	0.9968	0.0	0.4782	0.9873
0.1804	17.14	120	0.1714	0.7542	0.7842	0.9889	nan	0.5705	0.9979	nan	0.5196	0.9888
0.0773	22.86	160	0.0778	0.8056	0.8405	0.9912	nan	0.6832	0.9978	nan	0.6201	0.9911
0.0408	28.57	200	0.0499	0.8118	0.8494	0.9914	nan	0.7012	0.9977	nan	0.6322	0.9913
0.0319	34.29	240	0.0486	0.8121	0.8758	0.9908	nan	0.7557	0.9959	nan	0.6336	0.9907
0.0208	40.0	280	0.0337	0.8252	0.8508	0.9923	nan	0.7031	0.9985	nan	0.6582	0.9922
0.0156	45.71	320	0.0328	0.8240	0.8674	0.9919	nan	0.7375	0.9973	nan	0.6562	0.9918
0.0174	51.43	360	0.0270	0.8438	0.8577	0.9934	nan	0.7160	0.9993	nan	0.6943	0.9933
0.0122	57.14	400	0.0302	0.8370	0.8820	0.9925	nan	0.7666	0.9973	nan	0.6817	0.9924
0.0106	62.86	440	0.0301	0.8273	0.8951	0.9915	nan	0.7945	0.9958	nan	0.6631	0.9914
0.0101	68.57	480	0.0335	0.8255	0.8839	0.9916	nan	0.7714	0.9964	nan	0.6595	0.9915
0.0085	74.29	520	0.0264	0.8503	0.8794	0.9934	nan	0.7604	0.9984	nan	0.7073	0.9933
0.0096	80.0	560	0.0287	0.8575	0.8791	0.9938	nan	0.7593	0.9989	nan	0.7213	0.9937
0.0117	85.71	600	0.0305	0.8034	0.8376	0.9911	nan	0.6773	0.9979	nan	0.6158	0.9910
0.0156	91.43	640	0.0338	0.8134	0.9078	0.9902	nan	0.8219	0.9938	nan	0.6367	0.9900
0.0165	97.14	680	0.0358	0.8127	0.9149	0.9899	nan	0.8367	0.9932	nan	0.6357	0.9898
0.0083	102.86	720	0.0291	0.8383	0.8875	0.9925	nan	0.7780	0.9971	nan	0.6842	0.9923
0.0068	108.57	760	0.0290	0.8478	0.8930	0.9930	nan	0.7885	0.9974	nan	0.7026	0.9929
0.0065	114.29	800	0.0376	0.8333	0.8979	0.9919	nan	0.7997	0.9960	nan	0.6748	0.9918
0.0072	120.0	840	0.0391	0.8354	0.9087	0.9919	nan	0.8220	0.9955	nan	0.6791	0.9917
0.0065	125.71	880	0.0396	0.8386	0.9126	0.9920	nan	0.8298	0.9955	nan	0.6853	0.9919
0.0061	131.43	920	0.0392	0.8355	0.9041	0.9920	nan	0.8124	0.9958	nan	0.6792	0.9918
0.0056	137.14	960	0.0405	0.8308	0.8946	0.9918	nan	0.7932	0.9961	nan	0.6700	0.9917
0.0048	142.86	1000	0.0425	0.8344	0.9082	0.9918	nan	0.8209	0.9955	nan	0.6771	0.9916
0.0053	148.57	1040	0.0399	0.8312	0.8879	0.9920	nan	0.7793	0.9965	nan	0.6706	0.9918
0.0048	154.29	1080	0.0399	0.8346	0.8968	0.9920	nan	0.7973	0.9962	nan	0.6773	0.9919
0.004	160.0	1120	0.0438	0.8340	0.9013	0.9919	nan	0.8067	0.9959	nan	0.6763	0.9918
0.0064	165.71	1160	0.0423	0.8334	0.9029	0.9918	nan	0.8100	0.9957	nan	0.6750	0.9917
0.0086	171.43	1200	0.0331	0.8443	0.8785	0.9930	nan	0.7590	0.9981	nan	0.6958	0.9929
0.0061	177.14	1240	0.0353	0.8304	0.8910	0.9919	nan	0.7857	0.9963	nan	0.6691	0.9917
0.011	182.86	1280	0.0292	0.8246	0.8712	0.9919	nan	0.7452	0.9971	nan	0.6575	0.9917
0.0085	188.57	1320	0.0345	0.8190	0.9239	0.9903	nan	0.8546	0.9932	nan	0.6479	0.9901
0.0074	194.29	1360	0.0365	0.8307	0.8961	0.9918	nan	0.7962	0.9960	nan	0.6699	0.9916
0.0057	200.0	1400	0.0372	0.8340	0.9100	0.9917	nan	0.8247	0.9953	nan	0.6764	0.9916
0.0047	205.71	1440	0.0395	0.8380	0.9124	0.9920	nan	0.8294	0.9955	nan	0.6842	0.9918
0.0049	211.43	1480	0.0402	0.8356	0.9036	0.9920	nan	0.8113	0.9958	nan	0.6794	0.9918
0.004	217.14	1520	0.0396	0.8382	0.9085	0.9921	nan	0.8213	0.9957	nan	0.6844	0.9919
0.005	222.86	1560	0.0414	0.8346	0.8997	0.9920	nan	0.8034	0.9960	nan	0.6774	0.9918
0.0036	228.57	1600	0.0425	0.8373	0.9064	0.9920	nan	0.8171	0.9958	nan	0.6827	0.9919
0.0056	234.29	1640	0.0421	0.8223	0.8868	0.9913	nan	0.7777	0.9959	nan	0.6534	0.9912
0.0062	240.0	1680	0.0370	0.8117	0.8879	0.9905	nan	0.7809	0.9950	nan	0.6330	0.9903
0.0048	245.71	1720	0.0411	0.8223	0.9183	0.9907	nan	0.8428	0.9938	nan	0.6541	0.9905
0.0048	251.43	1760	0.0324	0.8256	0.8918	0.9915	nan	0.7878	0.9959	nan	0.6599	0.9913
0.0052	257.14	1800	0.0351	0.8331	0.8973	0.9919	nan	0.7986	0.9961	nan	0.6744	0.9918
0.0038	262.86	1840	0.0370	0.8337	0.9013	0.9919	nan	0.8067	0.9958	nan	0.6756	0.9917
0.0043	268.57	1880	0.0372	0.8360	0.9042	0.9920	nan	0.8125	0.9958	nan	0.6802	0.9918
0.0033	274.29	1920	0.0403	0.8343	0.8938	0.9921	nan	0.7913	0.9964	nan	0.6767	0.9919
0.0045	280.0	1960	0.0378	0.8428	0.9064	0.9924	nan	0.8165	0.9962	nan	0.6932	0.9923
0.0036	285.71	2000	0.0380	0.8492	0.8954	0.9931	nan	0.7935	0.9973	nan	0.7055	0.9929
0.0033	291.43	2040	0.0401	0.8372	0.9001	0.9921	nan	0.8041	0.9962	nan	0.6823	0.9920
0.004	297.14	2080	0.0457	0.8229	0.8930	0.9913	nan	0.7904	0.9956	nan	0.6546	0.9911
0.0044	302.86	2120	0.0456	0.8279	0.9048	0.9914	nan	0.8144	0.9952	nan	0.6646	0.9912
0.0033	308.57	2160	0.0455	0.8304	0.9059	0.9915	nan	0.8166	0.9953	nan	0.6694	0.9914
0.0031	314.29	2200	0.0460	0.8312	0.9065	0.9916	nan	0.8176	0.9953	nan	0.6710	0.9914
0.0031	320.0	2240	0.0441	0.8373	0.9043	0.9921	nan	0.8128	0.9959	nan	0.6826	0.9919
0.0033	325.71	2280	0.0458	0.8365	0.9080	0.9919	nan	0.8203	0.9956	nan	0.6812	0.9918
0.0028	331.43	2320	0.0467	0.8346	0.9074	0.9918	nan	0.8194	0.9955	nan	0.6775	0.9917
0.0032	337.14	2360	0.0472	0.8363	0.9082	0.9919	nan	0.8208	0.9956	nan	0.6808	0.9918
0.0026	342.86	2400	0.0491	0.8299	0.9032	0.9916	nan	0.8110	0.9954	nan	0.6685	0.9914
0.0031	348.57	2440	0.0457	0.8395	0.9030	0.9923	nan	0.8097	0.9962	nan	0.6868	0.9921
0.0034	354.29	2480	0.0469	0.8404	0.9053	0.9923	nan	0.8146	0.9961	nan	0.6886	0.9921
0.0026	360.0	2520	0.0481	0.8400	0.9052	0.9923	nan	0.8143	0.9961	nan	0.6879	0.9921
0.0028	365.71	2560	0.0466	0.8409	0.9103	0.9922	nan	0.8248	0.9958	nan	0.6898	0.9921
0.0028	371.43	2600	0.0498	0.8397	0.9034	0.9923	nan	0.8107	0.9962	nan	0.6872	0.9921
0.0026	377.14	2640	0.0491	0.8381	0.9111	0.9920	nan	0.8266	0.9955	nan	0.6843	0.9919
0.0025	382.86	2680	0.0493	0.8388	0.9075	0.9921	nan	0.8192	0.9958	nan	0.6857	0.9920
0.0051	388.57	2720	0.0499	0.8306	0.9155	0.9914	nan	0.8363	0.9947	nan	0.6700	0.9912
0.003	394.29	2760	0.0485	0.8378	0.9086	0.9920	nan	0.8215	0.9957	nan	0.6837	0.9919
0.0024	400.0	2800	0.0497	0.8403	0.9064	0.9922	nan	0.8169	0.9960	nan	0.6885	0.9921
0.0029	405.71	2840	0.0503	0.8427	0.9123	0.9923	nan	0.8288	0.9958	nan	0.6932	0.9922
0.0027	411.43	2880	0.0526	0.8408	0.9161	0.9921	nan	0.8367	0.9954	nan	0.6896	0.9920
0.0026	417.14	2920	0.0521	0.8410	0.9089	0.9923	nan	0.8220	0.9959	nan	0.6899	0.9921
0.0025	422.86	2960	0.0539	0.8425	0.9169	0.9922	nan	0.8384	0.9955	nan	0.6930	0.9921
0.0026	428.57	3000	0.0564	0.8421	0.9088	0.9923	nan	0.8215	0.9960	nan	0.6919	0.9922
0.0031	434.29	3040	0.0523	0.8440	0.9105	0.9924	nan	0.8249	0.9960	nan	0.6958	0.9923
0.0024	440.0	3080	0.0544	0.8440	0.9115	0.9924	nan	0.8271	0.9960	nan	0.6957	0.9923
0.0022	445.71	3120	0.0540	0.8431	0.9112	0.9924	nan	0.8266	0.9959	nan	0.6940	0.9922
0.0023	451.43	3160	0.0539	0.8430	0.9099	0.9924	nan	0.8238	0.9960	nan	0.6937	0.9922
0.0022	457.14	3200	0.0555	0.8421	0.9079	0.9923	nan	0.8198	0.9960	nan	0.6920	0.9922
0.002	462.86	3240	0.0571	0.8413	0.9092	0.9923	nan	0.8226	0.9959	nan	0.6905	0.9921
0.0024	468.57	3280	0.0581	0.8417	0.9095	0.9923	nan	0.8230	0.9959	nan	0.6913	0.9922
0.0022	474.29	3320	0.0554	0.8432	0.9116	0.9924	nan	0.8273	0.9959	nan	0.6943	0.9922
0.0019	480.0	3360	0.0567	0.8404	0.9071	0.9922	nan	0.8182	0.9960	nan	0.6886	0.9921
0.0027	485.71	3400	0.0535	0.8425	0.9143	0.9923	nan	0.8330	0.9957	nan	0.6928	0.9921
0.0027	491.43	3440	0.0558	0.8408	0.9059	0.9923	nan	0.8158	0.9961	nan	0.6895	0.9922
0.003	497.14	3480	0.0555	0.8417	0.9096	0.9923	nan	0.8233	0.9959	nan	0.6913	0.9922
0.0023	502.86	3520	0.0567	0.8407	0.9061	0.9923	nan	0.8162	0.9961	nan	0.6893	0.9922
0.0023	508.57	3560	0.0550	0.8421	0.9111	0.9923	nan	0.8263	0.9958	nan	0.6921	0.9922
0.0023	514.29	3600	0.0565	0.8412	0.9102	0.9922	nan	0.8245	0.9958	nan	0.6903	0.9921
0.0018	520.0	3640	0.0554	0.8401	0.9067	0.9922	nan	0.8174	0.9960	nan	0.6881	0.9921
0.0022	525.71	3680	0.0563	0.8400	0.9053	0.9922	nan	0.8146	0.9961	nan	0.6878	0.9921
0.0023	531.43	3720	0.0584	0.8409	0.9081	0.9923	nan	0.8202	0.9959	nan	0.6896	0.9921
0.0023	537.14	3760	0.0599	0.8392	0.9072	0.9922	nan	0.8185	0.9959	nan	0.6863	0.9920
0.002	542.86	3800	0.0592	0.8412	0.9088	0.9923	nan	0.8217	0.9959	nan	0.6902	0.9921
0.0024	548.57	3840	0.0585	0.8393	0.9075	0.9922	nan	0.8191	0.9959	nan	0.6867	0.9920
0.0024	554.29	3880	0.0588	0.8423	0.9093	0.9923	nan	0.8226	0.9960	nan	0.6924	0.9922
0.0019	560.0	3920	0.0605	0.8426	0.9127	0.9923	nan	0.8297	0.9958	nan	0.6930	0.9922
0.0022	565.71	3960	0.0592	0.8400	0.9087	0.9922	nan	0.8215	0.9958	nan	0.6879	0.9920
0.0019	571.43	4000	0.0578	0.8399	0.9092	0.9922	nan	0.8226	0.9958	nan	0.6878	0.9920
0.0038	577.14	4040	0.0520	0.8376	0.9012	0.9922	nan	0.8063	0.9961	nan	0.6831	0.9920
0.0058	582.86	4080	0.0413	0.8634	0.9125	0.9937	nan	0.8278	0.9972	nan	0.7332	0.9936
0.0024	588.57	4120	0.0493	0.8505	0.9145	0.9928	nan	0.8329	0.9962	nan	0.7084	0.9927
0.0023	594.29	4160	0.0479	0.8572	0.9096	0.9933	nan	0.8222	0.9970	nan	0.7211	0.9932
0.0034	600.0	4200	0.0503	0.8539	0.9045	0.9932	nan	0.8118	0.9971	nan	0.7148	0.9931
0.0023	605.71	4240	0.0609	0.8426	0.9115	0.9923	nan	0.8272	0.9959	nan	0.6929	0.9922
0.0018	611.43	4280	0.0625	0.8434	0.9120	0.9924	nan	0.8281	0.9959	nan	0.6946	0.9922
0.0019	617.14	4320	0.0602	0.8437	0.9109	0.9924	nan	0.8259	0.9960	nan	0.6952	0.9923
0.0025	622.86	4360	0.0602	0.8447	0.9126	0.9924	nan	0.8293	0.9959	nan	0.6971	0.9923
0.0022	628.57	4400	0.0618	0.8431	0.9118	0.9923	nan	0.8277	0.9959	nan	0.6940	0.9922
0.0018	634.29	4440	0.0622	0.8428	0.9088	0.9924	nan	0.8215	0.9960	nan	0.6933	0.9922
0.002	640.0	4480	0.0618	0.8445	0.9111	0.9925	nan	0.8262	0.9960	nan	0.6967	0.9923
0.0018	645.71	4520	0.0632	0.8433	0.9127	0.9923	nan	0.8296	0.9958	nan	0.6944	0.9922
0.0018	651.43	4560	0.0639	0.8442	0.9140	0.9924	nan	0.8323	0.9958	nan	0.6962	0.9923
0.0019	657.14	4600	0.0490	0.8564	0.9092	0.9933	nan	0.8214	0.9970	nan	0.7196	0.9932
0.002	662.86	4640	0.0615	0.8422	0.9075	0.9924	nan	0.8189	0.9961	nan	0.6921	0.9922
0.0018	668.57	4680	0.0593	0.8419	0.9115	0.9923	nan	0.8271	0.9958	nan	0.6916	0.9921
0.0025	674.29	4720	0.0592	0.8438	0.9096	0.9924	nan	0.8232	0.9961	nan	0.6953	0.9923
0.0018	680.0	4760	0.0621	0.8426	0.9101	0.9923	nan	0.8243	0.9959	nan	0.6929	0.9922
0.0018	685.71	4800	0.0644	0.8427	0.9144	0.9923	nan	0.8331	0.9957	nan	0.6932	0.9921
0.0016	691.43	4840	0.0619	0.8425	0.9121	0.9923	nan	0.8284	0.9958	nan	0.6929	0.9922
0.0017	697.14	4880	0.0618	0.8422	0.9090	0.9923	nan	0.8220	0.9960	nan	0.6922	0.9922
0.0016	702.86	4920	0.0634	0.8435	0.9091	0.9924	nan	0.8221	0.9961	nan	0.6948	0.9923
0.0015	708.57	4960	0.0647	0.8427	0.9077	0.9924	nan	0.8194	0.9961	nan	0.6931	0.9923
0.0017	714.29	5000	0.0647	0.8435	0.9104	0.9924	nan	0.8249	0.9960	nan	0.6947	0.9923
0.0017	720.0	5040	0.0673	0.8420	0.9114	0.9923	nan	0.8271	0.9958	nan	0.6918	0.9921
0.0024	725.71	5080	0.0704	0.8370	0.8950	0.9922	nan	0.7936	0.9965	nan	0.6818	0.9921
0.0056	731.43	5120	0.0495	0.8458	0.9124	0.9925	nan	0.8289	0.9960	nan	0.6991	0.9924
0.0186	737.14	5160	0.0274	0.8416	0.8743	0.9929	nan	0.7504	0.9981	nan	0.6903	0.9928
0.0057	742.86	5200	0.0257	0.8638	0.8944	0.9940	nan	0.7905	0.9983	nan	0.7338	0.9939
0.0051	748.57	5240	0.0303	0.8584	0.9084	0.9934	nan	0.8196	0.9972	nan	0.7235	0.9933
0.004	754.29	5280	0.0382	0.8414	0.9090	0.9923	nan	0.8220	0.9959	nan	0.6906	0.9921
0.0032	760.0	5320	0.0345	0.8609	0.9011	0.9937	nan	0.8045	0.9978	nan	0.7282	0.9936
0.0029	765.71	5360	0.0379	0.8669	0.8998	0.9941	nan	0.8013	0.9982	nan	0.7399	0.9940
0.0028	771.43	5400	0.0390	0.8657	0.8971	0.9941	nan	0.7959	0.9983	nan	0.7374	0.9940
0.0028	777.14	5440	0.0399	0.8645	0.9036	0.9939	nan	0.8094	0.9978	nan	0.7353	0.9938
0.0029	782.86	5480	0.0387	0.8683	0.9036	0.9941	nan	0.8090	0.9981	nan	0.7425	0.9940
0.0025	788.57	5520	0.0407	0.8600	0.9055	0.9936	nan	0.8136	0.9974	nan	0.7265	0.9935
0.0023	794.29	5560	0.0415	0.8593	0.9100	0.9935	nan	0.8228	0.9971	nan	0.7252	0.9933
0.0021	800.0	5600	0.0445	0.8571	0.9101	0.9933	nan	0.8231	0.9970	nan	0.7211	0.9932
0.0022	805.71	5640	0.0451	0.8549	0.9082	0.9932	nan	0.8195	0.9969	nan	0.7168	0.9931
0.0019	811.43	5680	0.0459	0.8554	0.9076	0.9933	nan	0.8182	0.9970	nan	0.7177	0.9931
0.0022	817.14	5720	0.0443	0.8623	0.9077	0.9937	nan	0.8179	0.9975	nan	0.7310	0.9936
0.0021	822.86	5760	0.0445	0.8616	0.9067	0.9937	nan	0.8159	0.9975	nan	0.7296	0.9936
0.0019	828.57	5800	0.0463	0.8575	0.9101	0.9933	nan	0.8232	0.9970	nan	0.7218	0.9932
0.0019	834.29	5840	0.0475	0.8581	0.9140	0.9933	nan	0.8312	0.9968	nan	0.7230	0.9932
0.002	840.0	5880	0.0453	0.8618	0.9076	0.9937	nan	0.8178	0.9974	nan	0.7300	0.9935
0.002	845.71	5920	0.0472	0.8592	0.9080	0.9935	nan	0.8188	0.9972	nan	0.7251	0.9934
0.0017	851.43	5960	0.0485	0.8582	0.9096	0.9934	nan	0.8221	0.9971	nan	0.7231	0.9933
0.0018	857.14	6000	0.0494	0.8575	0.9079	0.9934	nan	0.8186	0.9971	nan	0.7217	0.9933
0.002	862.86	6040	0.0479	0.8613	0.9091	0.9936	nan	0.8210	0.9973	nan	0.7291	0.9935
0.002	868.57	6080	0.0479	0.8607	0.9092	0.9936	nan	0.8211	0.9973	nan	0.7279	0.9935
0.0018	874.29	6120	0.0490	0.8596	0.9055	0.9936	nan	0.8135	0.9974	nan	0.7257	0.9934
0.0019	880.0	6160	0.0501	0.8602	0.9103	0.9935	nan	0.8234	0.9972	nan	0.7270	0.9934
0.0017	885.71	6200	0.0495	0.8593	0.9071	0.9935	nan	0.8169	0.9973	nan	0.7251	0.9934
0.0022	891.43	6240	0.0518	0.8577	0.9093	0.9934	nan	0.8216	0.9970	nan	0.7221	0.9933
0.0017	897.14	6280	0.0528	0.8578	0.9098	0.9934	nan	0.8225	0.9970	nan	0.7224	0.9933
0.0018	902.86	6320	0.0509	0.8583	0.9076	0.9934	nan	0.8179	0.9972	nan	0.7233	0.9933
0.0016	908.57	6360	0.0515	0.8580	0.9100	0.9934	nan	0.8230	0.9970	nan	0.7228	0.9933
0.0018	914.29	6400	0.0513	0.8574	0.9056	0.9934	nan	0.8139	0.9973	nan	0.7215	0.9933
0.0019	920.0	6440	0.0532	0.8581	0.9103	0.9934	nan	0.8236	0.9970	nan	0.7229	0.9933
0.0017	925.71	6480	0.0536	0.8578	0.9099	0.9934	nan	0.8228	0.9970	nan	0.7223	0.9932
0.0014	931.43	6520	0.0539	0.8587	0.9107	0.9934	nan	0.8245	0.9970	nan	0.7242	0.9933
0.0015	937.14	6560	0.0539	0.8582	0.9124	0.9934	nan	0.8280	0.9969	nan	0.7232	0.9932
0.0017	942.86	6600	0.0551	0.8584	0.9123	0.9934	nan	0.8278	0.9969	nan	0.7235	0.9932
0.0014	948.57	6640	0.0545	0.8585	0.9094	0.9934	nan	0.8217	0.9971	nan	0.7236	0.9933
0.0015	954.29	6680	0.0540	0.8577	0.9077	0.9934	nan	0.8182	0.9971	nan	0.7221	0.9933
0.0015	960.0	6720	0.0475	0.8708	0.9067	0.9942	nan	0.8153	0.9981	nan	0.7475	0.9941
0.0017	965.71	6760	0.0495	0.8683	0.9035	0.9941	nan	0.8090	0.9981	nan	0.7426	0.9940
0.0017	971.43	6800	0.0520	0.8670	0.9058	0.9940	nan	0.8137	0.9979	nan	0.7401	0.9939
0.0019	977.14	6840	0.0528	0.8676	0.9096	0.9940	nan	0.8215	0.9977	nan	0.7413	0.9939
0.0018	982.86	6880	0.0542	0.8656	0.9047	0.9939	nan	0.8116	0.9978	nan	0.7373	0.9938
0.0016	988.57	6920	0.0537	0.8651	0.9024	0.9939	nan	0.8068	0.9980	nan	0.7364	0.9938
0.0018	994.29	6960	0.0530	0.8622	0.9112	0.9936	nan	0.8251	0.9972	nan	0.7309	0.9935
0.0017	1000.0	7000	0.0522	0.8660	0.9125	0.9938	nan	0.8275	0.9974	nan	0.7382	0.9937
0.0016	1005.71	7040	0.0528	0.8659	0.9129	0.9938	nan	0.8285	0.9974	nan	0.7380	0.9937
0.0016	1011.43	7080	0.0531	0.8652	0.9100	0.9938	nan	0.8225	0.9975	nan	0.7367	0.9937
0.0017	1017.14	7120	0.0528	0.8664	0.9098	0.9939	nan	0.8219	0.9976	nan	0.7391	0.9938
0.0014	1022.86	7160	0.0536	0.8670	0.9098	0.9940	nan	0.8220	0.9976	nan	0.7402	0.9938
0.0013	1028.57	7200	0.0550	0.8654	0.9086	0.9939	nan	0.8197	0.9976	nan	0.7370	0.9938
0.0017	1034.29	7240	0.0526	0.8662	0.9072	0.9939	nan	0.8167	0.9977	nan	0.7385	0.9938
0.0014	1040.0	7280	0.0542	0.8661	0.9090	0.9939	nan	0.8203	0.9976	nan	0.7384	0.9938
0.0015	1045.71	7320	0.0546	0.8672	0.9113	0.9939	nan	0.8250	0.9976	nan	0.7405	0.9938
0.0019	1051.43	7360	0.0668	0.8457	0.9101	0.9926	nan	0.8240	0.9962	nan	0.6990	0.9924
0.0015	1057.14	7400	0.0646	0.8462	0.9107	0.9926	nan	0.8252	0.9962	nan	0.6999	0.9925
0.0015	1062.86	7440	0.0644	0.8466	0.9095	0.9926	nan	0.8227	0.9963	nan	0.7007	0.9925
0.0014	1068.57	7480	0.0619	0.8529	0.9119	0.9930	nan	0.8271	0.9966	nan	0.7128	0.9929
0.0017	1074.29	7520	0.0602	0.8556	0.9107	0.9932	nan	0.8246	0.9968	nan	0.7182	0.9931
0.0016	1080.0	7560	0.0617	0.8530	0.9089	0.9931	nan	0.8211	0.9968	nan	0.7130	0.9929
0.0015	1085.71	7600	0.0611	0.8540	0.9100	0.9931	nan	0.8233	0.9968	nan	0.7151	0.9930
0.0014	1091.43	7640	0.0607	0.8565	0.9104	0.9933	nan	0.8239	0.9969	nan	0.7199	0.9932
0.0012	1097.14	7680	0.0608	0.8604	0.9092	0.9935	nan	0.8212	0.9972	nan	0.7274	0.9934
0.0013	1102.86	7720	0.0603	0.8618	0.9088	0.9936	nan	0.8202	0.9974	nan	0.7300	0.9935
0.0018	1108.57	7760	0.0608	0.8605	0.9094	0.9935	nan	0.8216	0.9972	nan	0.7275	0.9934
0.0015	1114.29	7800	0.0606	0.8619	0.9088	0.9936	nan	0.8203	0.9974	nan	0.7302	0.9935
0.0015	1120.0	7840	0.0602	0.8616	0.9077	0.9936	nan	0.8181	0.9974	nan	0.7298	0.9935
0.0014	1125.71	7880	0.0606	0.8628	0.9086	0.9937	nan	0.8198	0.9974	nan	0.7320	0.9936
0.0012	1131.43	7920	0.0613	0.8599	0.9094	0.9935	nan	0.8217	0.9972	nan	0.7264	0.9934
0.0013	1137.14	7960	0.0627	0.8598	0.9099	0.9935	nan	0.8225	0.9972	nan	0.7261	0.9934
0.0014	1142.86	8000	0.0614	0.8614	0.9098	0.9936	nan	0.8224	0.9973	nan	0.7294	0.9935
0.0016	1148.57	8040	0.0620	0.8612	0.9105	0.9936	nan	0.8238	0.9972	nan	0.7290	0.9935
0.0013	1154.29	8080	0.0610	0.8626	0.9102	0.9937	nan	0.8232	0.9973	nan	0.7317	0.9936
0.0013	1160.0	8120	0.0625	0.8617	0.9098	0.9936	nan	0.8222	0.9973	nan	0.7299	0.9935
0.0016	1165.71	8160	0.0617	0.8625	0.9092	0.9937	nan	0.8210	0.9974	nan	0.7314	0.9936
0.0015	1171.43	8200	0.0622	0.8639	0.9099	0.9938	nan	0.8224	0.9974	nan	0.7341	0.9936
0.0012	1177.14	8240	0.0634	0.8629	0.9089	0.9937	nan	0.8204	0.9974	nan	0.7321	0.9936
0.0014	1182.86	8280	0.0634	0.8615	0.9096	0.9936	nan	0.8220	0.9973	nan	0.7296	0.9935
0.0011	1188.57	8320	0.0640	0.8618	0.9090	0.9936	nan	0.8206	0.9973	nan	0.7300	0.9935
0.0015	1194.29	8360	0.0635	0.8627	0.9081	0.9937	nan	0.8188	0.9975	nan	0.7318	0.9936
0.0018	1200.0	8400	0.0630	0.8625	0.9089	0.9937	nan	0.8204	0.9974	nan	0.7314	0.9936
0.0014	1205.71	8440	0.0635	0.8629	0.9085	0.9937	nan	0.8196	0.9974	nan	0.7323	0.9936
0.0012	1211.43	8480	0.0641	0.8619	0.9082	0.9937	nan	0.8190	0.9974	nan	0.7302	0.9935
0.0009	1217.14	8520	0.0644	0.8619	0.9091	0.9936	nan	0.8208	0.9973	nan	0.7302	0.9935
0.0014	1222.86	8560	0.0641	0.8612	0.9091	0.9936	nan	0.8210	0.9973	nan	0.7288	0.9935
0.0012	1228.57	8600	0.0646	0.8617	0.9092	0.9936	nan	0.8210	0.9973	nan	0.7299	0.9935
0.0012	1234.29	8640	0.0648	0.8616	0.9084	0.9936	nan	0.8194	0.9974	nan	0.7297	0.9935
0.0052	1240.0	8680	0.0667	0.8612	0.9131	0.9935	nan	0.8291	0.9971	nan	0.7289	0.9934
0.0014	1245.71	8720	0.0687	0.8564	0.9191	0.9931	nan	0.8419	0.9964	nan	0.7199	0.9930
0.0015	1251.43	8760	0.0653	0.8631	0.9172	0.9936	nan	0.8375	0.9969	nan	0.7328	0.9935
0.0013	1257.14	8800	0.0660	0.8627	0.9172	0.9936	nan	0.8375	0.9969	nan	0.7320	0.9935
0.0016	1262.86	8840	0.0661	0.8625	0.9177	0.9935	nan	0.8385	0.9969	nan	0.7315	0.9934
0.0013	1268.57	8880	0.0631	0.8643	0.9107	0.9938	nan	0.8239	0.9974	nan	0.7349	0.9937
0.0023	1274.29	8920	0.0549	0.8588	0.9070	0.9935	nan	0.8167	0.9973	nan	0.7242	0.9934
0.0017	1280.0	8960	0.0568	0.8609	0.9126	0.9935	nan	0.8282	0.9971	nan	0.7284	0.9934
0.0016	1285.71	9000	0.0594	0.8609	0.9134	0.9935	nan	0.8298	0.9970	nan	0.7283	0.9934
0.0018	1291.43	9040	0.0608	0.8606	0.9134	0.9935	nan	0.8298	0.9970	nan	0.7279	0.9934
0.0014	1297.14	9080	0.0621	0.8608	0.9127	0.9935	nan	0.8283	0.9971	nan	0.7281	0.9934
0.0012	1302.86	9120	0.0620	0.8613	0.9122	0.9936	nan	0.8272	0.9971	nan	0.7292	0.9934
0.0016	1308.57	9160	0.0625	0.8616	0.9128	0.9936	nan	0.8285	0.9971	nan	0.7298	0.9935
0.0012	1314.29	9200	0.0626	0.8616	0.9120	0.9936	nan	0.8269	0.9971	nan	0.7297	0.9935
0.0012	1320.0	9240	0.0628	0.8621	0.9120	0.9936	nan	0.8268	0.9972	nan	0.7306	0.9935
0.0012	1325.71	9280	0.0631	0.8618	0.9117	0.9936	nan	0.8261	0.9972	nan	0.7301	0.9935
0.0014	1331.43	9320	0.0632	0.8616	0.9125	0.9936	nan	0.8279	0.9971	nan	0.7297	0.9935
0.0014	1337.14	9360	0.0650	0.8607	0.9142	0.9935	nan	0.8315	0.9970	nan	0.7280	0.9934
0.0016	1342.86	9400	0.0659	0.8588	0.9138	0.9934	nan	0.8307	0.9969	nan	0.7243	0.9933
0.0012	1348.57	9440	0.0661	0.8585	0.9133	0.9934	nan	0.8298	0.9969	nan	0.7237	0.9932
0.0014	1354.29	9480	0.0657	0.8592	0.9133	0.9934	nan	0.8296	0.9969	nan	0.7252	0.9933
0.001	1360.0	9520	0.0659	0.8594	0.9137	0.9934	nan	0.8305	0.9969	nan	0.7256	0.9933
0.0012	1365.71	9560	0.0652	0.8620	0.9122	0.9936	nan	0.8273	0.9972	nan	0.7306	0.9935
0.0012	1371.43	9600	0.0654	0.8620	0.9122	0.9936	nan	0.8271	0.9972	nan	0.7305	0.9935
0.0014	1377.14	9640	0.0652	0.8619	0.9125	0.9936	nan	0.8279	0.9971	nan	0.7304	0.9935
0.0015	1382.86	9680	0.0652	0.8618	0.9126	0.9936	nan	0.8281	0.9971	nan	0.7302	0.9935
0.0014	1388.57	9720	0.0651	0.8608	0.9139	0.9935	nan	0.8309	0.9970	nan	0.7282	0.9934
0.0011	1394.29	9760	0.0656	0.8605	0.9139	0.9935	nan	0.8309	0.9970	nan	0.7277	0.9934
0.0013	1400.0	9800	0.0656	0.8606	0.9137	0.9935	nan	0.8303	0.9970	nan	0.7278	0.9934

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

segformer-b0-finetuned-neurosymbolic-contingency-bag1-v0.2-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NSDT 3DConvert

UnrealSynth

DreamTexture.js